A position of assistant professor (maître de conférences) in computer science will be open at the Université de Caen Normandie, France, in the computer science department and in the GREYC lab. The position will start in September 2021. The research theme is decision-making under uncertainty and in interaction with humans (MAD group of the GREYC lab: https://www.greyc.fr/en/equipes/mad-2/), and teaching is expected in computer science in general, with a focus on networks and the web. For any inquiry, please contact bruno.zanutt...@unicaen.fr, head of the MAD group.
Keywords: intelligent agents, artificial intelligence, multiagent systems. Applications should be done through the national platform before March 30 (16:00 in Paris): https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/cand_recrutement_enseignants_chercheurs.htm. * Detailed teaching profile: The person will be assigned to the department of maths and computer science of the Université de Caen Normandie. He/she should be ready to teach in all computer science curricula of this department, both at the bachelor and master levels. Experience in the following matters will be specifically appreciated: advanced programming of systems and networks, web technologies, databases, software engineering, and information systems. The person should be ready to progressively get invested in the life of the department, by taking on teaching responsibilities. * Detailed research profile: The person will integrate the "Models, Agents, Decision" group of the GREYC lab. This group studies the algorithmical aspects of reasoning, in particuliar in logic; multiagent systems, especially trust and ethics; and sequential decision-making under uncertainty, in particular in a multiagent setting and in interaction with humans. Our priority is to reinforce the latter, i.e., the "decision" theme. The group has international visibility on these topics, about planning for Markov decision processes (MDP) and especially their multiagent and decentralized versions. We study these themes from the points of view of modelling real problems and designing algorithms for solving them. Since several years, we focus on taking the human into account, for modelling their behaviour as an integral part of the environment or for designing strategies for interacting with them, for example towards adjustable autonomy. Therefore, it is expected that the applicant has expertise on MDPs in the broad sense, or on stochatic games, reinforcement learning, adjustable autonomy. Possibilities to interact with the other themes of the group (reasoning, multi-agent systems) will of course be very welcome. Possibilities to interact with other groups of the GREYC lab, on themes related to those of the MAD group, will also be welcome, in particular with the AmacC group about distributed algorithms and graphs, and/or with the CoDaG group about distributed reinforcement learning, or about resolution of combinatorial problems related to planning under uncertainty. -- Bruno Zanuttini https://zanuttini.users.greyc.fr/ _______________________________________________ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
